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Englisch
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Beschreibung
Advances in learning-based methods are revolutionizing several fields in applied mathematics, including inverse problems, resulting in a major paradigm shift towards data-driven approaches. This volume, which is inspired by this cutting-edge area of research, brings together contributors from the inverse problem community and shows how to successfully combine model- and data-driven approaches to gain insight into practical and theoretical issues.
Advances in learning-based methods are revolutionizing several fields in applied mathematics, including inverse problems, resulting in a major paradigm shift towards data-driven approaches. This volume, which is inspired by this cutting-edge area of research, brings together contributors from the inverse problem community and shows how to successfully combine model- and data-driven approaches to gain insight into practical and theoretical issues.
Zusammenfassung
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Details
| Erscheinungsjahr: | 2024 |
|---|---|
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
VIII
500 S. 36 s/w Illustr. 80 farbige Illustr. 36 b/w and 80 col. ill. |
| ISBN-13: | 9783111250038 |
| ISBN-10: | 3111250032 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Tatiana A. Bubba |
| Redaktion: | Bubba, Tatiana A. |
| Herausgeber: | Tatiana A Bubba |
| Hersteller: | De Gruyter |
| Verantwortliche Person für die EU: | Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, D-10785 Berlin, productsafety@degruyterbrill.com |
| Abbildungen: | 36 b/w and 80 col. ill. |
| Maße: | 240 x 170 x 15 mm |
| Von/Mit: | Tatiana A. Bubba |
| Erscheinungsdatum: | 18.11.2024 |
| Gewicht: | 0,965 kg |